Face recognition from profiles using morphological operations

A novel method for face recognition using profile images based on the representation of the original and morphological derived profile shapes is presented in this paper. The goal of our approach is to use information from profile outline that bounds the face and the hair. A grey-level profile image is thresholded to produce a binary image, representing the face region. After normalising the area and orientation of this shape using basic morphological operations, dilation and erosion, we simulate hair growth and haircut and produce two new profile silhouettes. From this three profile shape feature vectors are obtained using distances between outline curve points and shape centroid. After normalising the vector components, the Euclidean distance measure is used for measuring the similarity of the feature vectors derived from different profiles. Experiments were performed on profile images of thirty persons. Experimental results including recognition rates are presented and discussed.

[1]  Hooshang Hemami,et al.  Identification of Three-Dimensional Objects Using Fourier Descriptors of the Boundary Curve , 1974, IEEE Trans. Syst. Man Cybern..

[2]  King-Sun Fu,et al.  Shape Discrimination Using Fourier Descriptors , 1977, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Edward R. Dougherty,et al.  Morphological methods in image and signal processing , 1988 .

[4]  Jun S. Huang,et al.  Human face profile recognition by computer , 1990, Pattern Recognit..

[5]  Xinhua Zhuang,et al.  Image Analysis Using Mathematical Morphology , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Ralph Roskies,et al.  Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.

[7]  L. D. Harmon,et al.  Identification of human face profiles by computer , 1978, Pattern Recognit..

[8]  Sven Loncaric,et al.  A survey of shape analysis techniques , 1998, Pattern Recognit..

[9]  Esther M. Arkin,et al.  An efficiently computable metric for comparing polygonal shapes , 1991, SODA '90.

[10]  M. K. Khan,et al.  Machine identification of human faces , 1981, Pattern Recognition.

[11]  Chin-Chen Chang,et al.  A shape recognition scheme based on relative distances of feature points from the centroid , 1991, Pattern Recognition.

[12]  John S. McDonald,et al.  On the Measurement of Curvature in a Quantized Environment , 1975, IEEE Transactions on Computers.

[13]  Gösta H. Granlund,et al.  Fourier Preprocessing for Hand Print Character Recognition , 1972, IEEE Transactions on Computers.

[14]  Po-Cheng Chen,et al.  Invariant pattern recognition by moment fourier descriptor , 1994, Pattern Recognit..

[15]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[16]  Jim R. Parker,et al.  Algorithms for image processing and computer vision , 1996 .